Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2017 Dec;32(4):485-486.
doi: 10.3803/EnM.2017.32.4.485.

Response: Utility of the Visceral Adiposity Index and Hypertriglyceridemic Waist Phenotype for Predicting Incident Hypertension (Endocrinol Metab 2017;32:221-9, Mohsen Janghorbani et al.)

Mohsen Janghorbani  1
Affiliations
Comment

Response: Utility of the Visceral Adiposity Index and Hypertriglyceridemic Waist Phenotype for Predicting Incident Hypertension (Endocrinol Metab 2017;32:221-9, Mohsen Janghorbani et al.)

Mohsen Janghorbani. Endocrinol Metab (Seoul). 2017 Dec.
No abstract available

PubMed Disclaimer

Conflict of interest statement

No potential conflict of interest relevant to this article was reported.

Comment on

Similar articles

See all similar articles

References

    1. Rhee EJ. Letter: utility of the visceral adiposity index and hypertriglyceridemic waist phenotype for predicting incident hypertension (Endocrinol Metab 2017;32:221-9, Mohsen Janghorbani et al.) Endocrinol Metab (Seoul) 2017;32:396–397. - PMC - PubMed
    1. Janghorbani M, Salamat MR, Aminorroaya A, Amini M. Utility of the visceral adiposity index and hypertriglyceridemic waist phenotype for predicting incident hypertension. Endocrinol Metab (Seoul) 2017;32:221–229. - PMC - PubMed
    1. Janghorbani M, Amini M. Utility of hypertriglyceridemic waist phenotype for predicting incident type 2 diabetes: The Isfahan Diabetes Prevention Study. J Diabetes Investig. 2016;7:860–866. - PMC - PubMed
    1. Janghorbani M, Salamat MR, Amini M, Aminorroaya A. Risk of diabetes according to the metabolic health status and degree of obesity. Diabetes Metab Syndr. 2017;11(Suppl 1):S439–S444. - PubMed
    1. Janghorbani M, Aminorroaya A, Amini M. Comparison of different obesity indices for predicting incident hypertension. High Blood Press Cardiovasc Prev. 2017;24:157–166. - PubMed

LinkOut - more resources